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output_rtt.py
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output_rtt.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2016-09-24 11:19:09
# @Author : Tom Hu ([email protected])
# @Link : http://h1994st.com
# @Version : 1.0
import json
import numpy as np
def main():
print '[IFTTT]'
# Email -> Wordpress via IFTTT
print 'Email -> Wordpress via IFTTT'
with open('data/rtt/email_IFTTT_wordpress_1483893177.json') as fp:
data1 = json.load(fp)
with open('data/rtt/email_IFTTT_wordpress_1483893361.json') as fp:
data2 = json.load(fp)
with open('data/rtt/email_IFTTT_wordpress_1483893700.json') as fp:
data3 = json.load(fp)
action_performed_at = [x[1] for x in data3]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
with open('data/rtt/email_IFTTT_wordpress_1483894138.json') as fp:
data4 = json.load(fp)
action_performed_at = [x[1] for x in data4]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
data = data1 + data2 + data3 + data4
delays = [x[1] - x[0] for x in data]
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print ''
# Ghost -> Wordpress via IFTTT
print 'Ghost -> Wordpress via IFTTT'
with open('data/rtt/ghost_to_wordpress_IFTTT.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Ghost -> Wordpress via IFTTT with forcing check
print 'Ghost -> Wordpress via IFTTT with forcing check'
with open('data/rtt/ghost_IFTTT_wordpress_1482907187.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Evernote -> Github via IFTTT
print 'Evernote -> Github via IFTTT'
with open('data/rtt/evernote_to_github_IFTTT.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
with open('data/rtt/evernote_IFTTT_github_1474663935.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
with open('data/rtt/evernote_IFTTT_github_1474714363.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Wordpress -> Dropbox via IFTTT
print 'Wordpress -> Dropbox via IFTTT'
with open('data/rtt/wordpress_IFTTT_dropbox_1489977895.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Dropbox -> Wordpress via IFTTT
print 'Dropbox -> Wordpress via IFTTT'
with open('data/rtt/dropbox_IFTTT_wordpress_1490202712.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
with open('data/rtt/dropbox_IFTTT_wordpress_1490282085.json') as fp:
data = json.load(fp)[18:]
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Twitter -> Dropbox via IFTTT
print 'Twitter -> Dropbox via IFTTT'
with open('data/rtt/twitter_IFTTT_dropbox_1490292866.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
print '[Zapier]'
# Ghost -> Wordpress via Zapier
print 'Ghost -> Wordpress via Zapier'
with open('data/rtt/ghost_Zapier_wordpress_1474702567.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Evernote -> Github via Zapier
print 'Evernote -> Github via Zapier'
with open('data/rtt/evernote_to_github_Zapier.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
with open('data/rtt/evernote_Zapier_github_1484952317.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Wordpress -> Dropbox via Zapier
print 'Wordpress -> Dropbox via Zapier'
with open('data/rtt/wordpress_Zapier_dropbox_1489987052.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Dropbox -> Wordpress via Zapier
print 'Dropbox -> Wordpress via Zapier'
with open('data/rtt/dropbox_Zapier_wordpress_1490209096.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Twitter -> Dropbox via Zapier
print 'Twitter -> Dropbox via Zapier'
with open('data/rtt/twitter_Zapier_dropbox_1490346966.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
print '[Flow]'
# Ghost -> Wordpress via Microsoft Flow
print 'Ghost -> Wordpress via Flow'
with open('data/rtt/ghost_Micro_wordpress_1480617920.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
with open('data/rtt/ghost_flow_wordpress_1484940083.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
delays = [delay for delay in delays if delay > 20]
intervals = [interval for interval in intervals if interval > 20]
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Wordpress -> Dropbox via Microsoft Flow
print 'Wordpress -> Dropbox via Microsoft Flow'
with open('data/rtt/wordpress_Flow_dropbox_1400000000.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Dropbox -> Wordpress via Microsoft Flow
print 'Dropbox -> Wordpress via Microsoft Flow'
with open('data/rtt/dropbox_Flow_wordpress_1490226833.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Twitter -> Dropbox via Microsoft Flow
print 'Twitter -> Dropbox via Microsoft Flow'
with open('data/rtt/twitter_Flow_dropbox_1400000000.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
print '[Apiant]'
# Ghost -> Wordpress via Apiant
print 'Ghost -> Wordpress via Apiant'
with open('data/rtt/ghost_APIant_wordpress_1480872682.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Wordpress -> Dropbox via Apiant
print 'Wordpress -> Dropbox via Apiant'
with open('data/rtt/wordpress_Apiant_dropbox_1490001995.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Dropbox -> Wordpress via Apiant
print 'Dropbox -> Wordpress via Apiant'
with open('data/rtt/dropbox_Apiant_wordpress_1490209239.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
# Twitter -> Dropbox via Apiant
print 'Twitter -> Dropbox via Apiant'
with open('data/rtt/twitter_Apiant_dropbox_1490299145.json') as fp:
data = json.load(fp)
delays = [x[1] - x[0] for x in data]
action_performed_at = [x[1] for x in data]
intervals = []
for i in xrange(len(action_performed_at) - 1):
intervals.append(
action_performed_at[i + 1] - action_performed_at[i])
print 'Delay Avg.:', np.mean(delays),
print 'Delay Std.:', np.std(delays)
print 'Interval Avg.:', np.mean(intervals),
print 'Interval Std.:', np.std(intervals)
print ''
if __name__ == '__main__':
main()